Add to ORKGThis paper presents a package, called Heterogeneous PBLAS (HeteroPBLAS), which is built on top of PBLAS and provides optimized parallel basic linear algebra subprograms for heterogeneous computational clusters. We present the user interface and the software hierarchy of the first research implementation of HeteroPBLAS. This is the first step towards the development of a parallel linear algebra package for heterogeneous computational clusters. We demonstrate the efficiency of the HeteroPBLAS programs on a homogeneous computing cluster and a heterogeneous computing cluster. 1
Ensuring longevity and maintainability of modern software applications is mandatory for a proper ret...
Parallel performance optimization is being applied and further improvements are studied for parallel...
Aiming to fully exploit the computing power of all CPUs and all graphics processing units (GPUs) on ...
We present a package, called Heterogeneous PBLAS (HeteroPBLAS), which is built on top of PBLAS and p...
In this document, we describe two strategies of distribution of computations that can be used to imp...
This paper describes the design and the implementation of parallel routines in the Heterogeneous Sca...
This paper presents a self-optimization methodology for parallel linear algebra rou-tines on heterog...
This paper presents and analyzes two different strategies of heterogeneous distribution of computati...
This paper discusses the design of linear algebra libraries for high performance computers. Particul...
In this document, we describe two strategies of distribution of computations that can be used to imp...
The aim of data and task parallel scheduling for dense linear algebra kernels is to minimize the pro...
Abstract. We present an efficient and scalable programming model for the development of linear algeb...
Abstract—Two strategies of distribution of computations can be used to implement parallel solvers fo...
Many computationally intensive problems in engineering and science give rise to the solution of larg...
Abstract — In this paper we present our joint efforts towards the development of a parallel version ...
Ensuring longevity and maintainability of modern software applications is mandatory for a proper ret...
Parallel performance optimization is being applied and further improvements are studied for parallel...
Aiming to fully exploit the computing power of all CPUs and all graphics processing units (GPUs) on ...
We present a package, called Heterogeneous PBLAS (HeteroPBLAS), which is built on top of PBLAS and p...
In this document, we describe two strategies of distribution of computations that can be used to imp...
This paper describes the design and the implementation of parallel routines in the Heterogeneous Sca...
This paper presents a self-optimization methodology for parallel linear algebra rou-tines on heterog...
This paper presents and analyzes two different strategies of heterogeneous distribution of computati...
This paper discusses the design of linear algebra libraries for high performance computers. Particul...
In this document, we describe two strategies of distribution of computations that can be used to imp...
The aim of data and task parallel scheduling for dense linear algebra kernels is to minimize the pro...
Abstract. We present an efficient and scalable programming model for the development of linear algeb...
Abstract—Two strategies of distribution of computations can be used to implement parallel solvers fo...
Many computationally intensive problems in engineering and science give rise to the solution of larg...
Abstract — In this paper we present our joint efforts towards the development of a parallel version ...
Ensuring longevity and maintainability of modern software applications is mandatory for a proper ret...
Parallel performance optimization is being applied and further improvements are studied for parallel...
Aiming to fully exploit the computing power of all CPUs and all graphics processing units (GPUs) on ...